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Start Over Topic radiologists Publication Year Range Last 10 years Journal canadian association of radiologists journal
7 results

1. Canadian Association of Radiologists Prostate MRI White Paper

Author

Silvia D. Chang, Caroline Reinhold, Iain D. C. Kirkpatrick, Sharon E. Clarke, Nicola Schieda, Casey Hurrell, Derek W. Cool, Adam S. Tunis, Abdullah Alabousi, Brendan J. Diederichs, and Masoom A. Haider

Subjects
Image-Guided Biopsy, Male, Canada, Radiologists, Prostate, Humans, Prostatic Neoplasms, Radiology, Nuclear Medicine and imaging, General Medicine, Magnetic Resonance Imaging
Abstract

Prostate cancer is the most common malignancy and the third most common cause of death in Canadian men. In light of evolving diagnostic pathways for prostate cancer and the increased use of MRI, which now includes its use in men prior to biopsy, the Canadian Association of Radiologists established a Prostate MRI Working Group to produce a white paper to provide recommendations on establishing and maintaining a Prostate MRI Programme in the context of the Canadian healthcare system. The recommendations, which are based on available scientific evidence and/or expert consensus, are intended to maintain quality in image acquisition, interpretation, reporting and targeted biopsy to ensure optimal patient care. The paper covers technique, reporting, quality assurance and targeted biopsy considerations and includes appendices detailing suggested reporting templates, quality assessment tools and sample image acquisition protocols relevant to the Canadian healthcare context.

Published
2022

2. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

Author

Wael Shabana, Mark Cicero, Jacob L. Jaremko, Tim O'Connell, Joseph Barfett, Leonid L. Chepelev, Manuel Gaudreau Poudrette, Robyn Cairns, An Tang, Paul Babyn, Jaron Chong, Sheldon Derkatch, Raym Geis, Darren Ferguson, Roger Tam, Caroline Reinhold, Bruce Gray, Benoit Gallix, Alexander Bilbily, David Koff, Will Guest, Alexandre Cadrin-Chênevert, and J. Ross Mitchell

Subjects
Canada, medicine.medical_specialty, media_common.quotation_subject, Lifelong learning, Population health, 030218 nuclear medicine & medical imaging, Terminology, 03 medical and health sciences, 0302 clinical medicine, White paper, Artificial Intelligence, Radiologists, medicine, Humans, Radiology, Nuclear Medicine and imaging, Quality (business), Societies, Medical, media_common, business.industry, General Medicine, Workflow, 030220 oncology & carcinogenesis, Mandate, Artificial intelligence, Applications of artificial intelligence, Radiology, business
Abstract

Artificial intelligence (AI) is rapidly moving from an experimental phase to an implementation phase in many fields, including medicine. The combination of improved availability of large datasets, increasing computing power, and advances in learning algorithms has created major performance breakthroughs in the development of AI applications. In the last 5 years, AI techniques known as deep learning have delivered rapidly improving performance in image recognition, caption generation, and speech recognition. Radiology, in particular, is a prime candidate for early adoption of these techniques. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. The Canadian Association of Radiologists (CAR) is the national voice of radiology committed to promoting the highest standards in patient-centered imaging, lifelong learning, and research. The CAR has created an AI working group with the mandate to discuss and deliberate on practice, policy, and patient care issues related to the introduction and implementation of AI in imaging. This white paper provides recommendations for the CAR derived from deliberations between members of the AI working group. This white paper on AI in radiology will inform CAR members and policymakers on key terminology, educational needs of members, research and development, partnerships, potential clinical applications, implementation, structure and governance, role of radiologists, and potential impact of AI on radiology in Canada.

Published
2018

3. Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology.

Author

Jaremko, Jacob L., Azar, Marleine, Bromwich, Rebecca, Lum, Andrea, Alicia Cheong, Li Hsia, Gibert, Martin, Laviolette, François, Gray, Bruce, Reinhold, Caroline, Cicero, Mark, Chong, Jaron, Shaw, James, Rybicki, Frank J., Hurrell, Casey, Lee, Emil, and Tang, An

Subjects
*ARTIFICIAL intelligence laws, *ACQUISITION of property, *ALGORITHMS, *ARTIFICIAL intelligence, *AUTONOMY (Psychology), *CONCEPTUAL structures, *MEDICAL ethics, *MEDICAL practice, *MEDICAL specialties & specialists, *PRIVACY, *RADIOLOGISTS, *DATA security
Abstract

Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalent. Unlike earlier generations of AI software, which relied on expert knowledge to identify imaging features, machine learning approaches automatically learn to recognize these features. However, the promise of accurate personalized medicine can only be fulfilled with access to large quantities of medical data from patients. This data could be used for purposes such as predicting disease, diagnosis, treatment optimization, and prognostication. Radiology is positioned to lead development and implementation of AI algorithms and to manage the associated ethical and legal challenges. This white paper from the Canadian Association of Radiologists provides a framework for study of the legal and ethical issues related to AI in medical imaging, related to patient data (privacy, confidentiality, ownership, and sharing); algorithms (levels of autonomy, liability, and jurisprudence); practice (best practices and current legal framework); and finally, opportunities in AI from the perspective of a universal health care system. [ABSTRACT FROM AUTHOR]

Published
2019
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4. Recommendations for the Management of the Incidental Renal Mass in Adults: Endorsement and Adaptation of the 2017 ACR Incidental Findings Committee White Paper by the Canadian Association of Radiologists Incidental Findings Working Group.

Author

Kirkpatrick, Iain D.C., Brahm, Gary L., Mnatzakanian, Gevork N., Hurrell, Casey, Herts, Brian R., and Bird, Jeffery R.

Subjects
*COMPUTED tomography, *MEDICAL referrals, *KIDNEY tumors, *RADIOLOGISTS, *ULTRASONIC imaging, *UROLOGISTS, *DISEASE incidence, *DIAGNOSIS, *TUMOR treatment
Published
2019
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5. Designing a Comprehensive Undergraduate Medical Education Radiology Curriculum Using the 5C's of Radiology Education Framework.

Author

Visscher, Kari L. and Faden, Lisa

Subjects
*CONCEPTUAL structures, *CURRICULUM, *HOSPITAL radiological services, *INTERPROFESSIONAL relations, *MEDICAL education, *PSYCHOLOGY of medical students, *SENSORY perception, *GRADUATE education, *CLINICAL competence, *TEACHING methods, *RADIOLOGISTS, *EDUCATION, *PSYCHOLOGY
Abstract

Abstract The 5C's of Radiology Education is a tool created from a recent qualitative study designed to explore how radiology exposures impact medical student opinions and perceptions of radiology and radiologists. It outlines the factors that the medical students identified as important for their radiology education. These factors are curriculum, coaching, collaborating, career, and commitment. The purpose of this paper is to provide a review of the literature of undergraduate medical education both broadly and more specifically to radiology education using the 5C's of Radiology Education framework. [ABSTRACT FROM AUTHOR]

Published
2018
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6. Canadian Association of Radiologists Annual Scientific Meetings: How Many Abstracts Go on to Publication?

Author

Dressier, Danielle and Leswick, David

Subjects
*RADIOLOGISTS, *ABSTRACTING, *CONFERENCES & conventions, *MEDLINE, *ONLINE information services, *PUBLISHING, *RESEARCH, *SERIAL publications, *RETROSPECTIVE studies, *SOCIETIES
Abstract

Purpose: To determine the percentage of abstracts presented at the Canadian Association of Radiologists (CAR) annual scientific meetings that go on to publication. Methods: Records of previous CAR meetings from the years 2005-2011 were obtained. An Internet search was performed to determine which abstracts went on to publication. Abstracts were assessed according to exhibit category (Resident Award Papers), educational institution, publishing journal, and time to publication. Results: Of the 402 abstracts presented, 112 (28%) were published. Overall, an average of 37% of Radiologists-In-Training Presentations, 34% of Scientific Exhibits, and 20% of Educational Exhibits went on to publication. The University of British Columbia and University of Ottawa published the largest number of abstracts (66 and 62, respectively) from the years 2005-2011. The University of Montreal had the largest percentage of abstracts published (42%). The range of publishing journals was wide, but the top publisher was the Canadian Association of Radiologists Journal (27%). Eighty-three percent of abstracts were published within 3 years of being presented. Conclusion: In total, 28% of all the abstracts presented at the CAR conferences between 2005 and 2011 were published. Further exploration into the reasons and barriers for abstracts not being published may be a next step in future research. [ABSTRACT FROM AUTHOR]

Published
2015
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7. Impact of COVID-19 on Canadian Radiology Residency Training Programs

Author

Michael N. Patlas, Baljot S. Chahal, and Devang Odedra

Subjects
Canada, 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), education, Pneumonia, Viral, emergency preparedness, Article, 030218 nuclear medicine & medical imaging, Betacoronavirus, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Radiologists, Pandemic, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Pandemics, virtual education, SARS-CoV-2, business.industry, pandemic, COVID-19, Internship and Residency, General Medicine, 030220 oncology & carcinogenesis, Radiology, medical education, Coronavirus Infections, business, Residency training
Abstract

Purpose:The novel coronavirus disease (COVID-19) pandemic has swept the globe, with a domino effect on medical education and training. In this study, we surveyed Canadian radiology residents to understand the impact of the pandemic on their residency training, strategies utilized by the residency programs in mitigating those impacts, and factors important to residents in the selection of educational resources on COVID-19.Methods:A 10-item questionnaire was distributed to 460 resident members of the Canadian Association of Radiologists. The survey was open for 2 weeks, with a reminder sent at half-way mark.Results:We received 96 responses (response rate: 20.9%). The 4 highest affected domains of training were daytime case volumes (92.4%), daytime schedules (87.4%), internal and external assessments (86.5%), and vacation/travel (83.3%). Virtual teaching rounds (91.7%), change in schedules to allow staying home (78.1%), and virtual/phone readouts (72.9%) were the most utilized strategies by the Canadian radiology residency programs. Overall stress of exposure to the disease was moderate to low (86.5%). A minority of the residents were redeployed (6.2%), although most (68.8%) were on standby for redeployment. Residents preferred published society guidelines (92.3%), review papers (79.3%), video lectures (79.3%), and web tools (76.9%) for learning about COVID-19 imaging manifestations.Conclusion:The COVID-19 pandemic has had a significant impact on various domains of the Canadian radiology residency programs, which has been mitigated by several strategies employed by the training programs.

Published
2020